Overview
- The tutorial defines MCP as a protocol that lets models such as Claude, ChatGPT, or Gemini call external tools, APIs, files, and databases in a controlled way.
- A minimal Node.js server is built with @modelcontextprotocol/sdk, registering a getDate tool and connecting over stdio via StdioServerTransport.
- Setup instructions detail how to connect the local server to Claude Desktop by editing the claude_desktop_config.json mcpServers entry.
- The architecture is explained as AI model to MCP client over WebSocket or stdio to an MCP server that exposes tools and resources.
- Optional guidance covers deploying to Google Cloud Run, Cloudflare Workers, or Vercel, plus applying authentication, logging, input validation, rate limiting, and environment isolation.